用多面Rasch测量和推广理论检验CEFR-J口语交互任务

IF 0.1 Q4 LINGUISTICS Studies in Language Assessment Pub Date : 2019-01-01 DOI:10.58379/bswy7332
Rie Koizumi, Emiko Kaneko, E. Setoguchi, Yo In’nami
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引用次数: 4

摘要

目前正在根据日文版的《欧洲共同语言参考框架》(CEFR;欧洲委员会,2001;CEFR-J;根岸、高田和托诺,2013)。作为这个更大项目的一部分,本文报告了五个级别(Pre-A1, A1.1, A1.2, A1.3和A2.1)的口语交互任务的创建。66名日本大学生承担了这些任务。两名评分员使用三级整体评分量表评估他们的互动,20%的表演被双重评分。采用多面拉希测量(MFRM)和泛化理论(G-theory)对口语评分进行了分析。MFRM结果表明,所有任务均符合Rasch模型,量表功能良好,任务难度与CEFR-J水平基本一致。采用p x t设计的g理论的结果,包括任务作为一个面,显示了任务占方差的不同比例,以及确保足够高的可靠性所需的任务数量。MFRM和g理论结果有效地揭示了口语互动任务有待改进的领域;结果还显示了将两种方法结合起来进行任务开发和复习的有效性。
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Examination of CEFR-J spoken interaction tasks using many-facet Rasch measurement and generalizability theory
Attempts are underway to develop prototype tasks, based on a Japanese version of the Common European Framework of Reference for Languages (CEFR; Council of Europe, 2001; CEFR-J; Negishi, Takada, & Tono, 2013). As part of this larger project, the current paper reports on the creation of spoken interaction tasks for five levels (Pre-A1, A1.1, A1.2, A1.3, and A2.1). Tasks were undertaken by 66 Japanese university students. Two raters evaluated their interactions using a three-level holistic rating scale, and 20% of the performances were double rated. The spoken ratings were analysed using many-facet Rasch measurement (MFRM) and generalizability theory (G-theory). MFRM showed that all the tasks fit the Rasch model well, the scale functioned satisfactorily, and the difficulty of the tasks generally concurred with CEFR-J levels. Results from G-theory that employed the p x t design, including tasks as a facet, showed the different proportion of variance accounted for by tasks, as well as the number of tasks that could be required to ensure sufficiently high reliability. The MFRM and G-theory results effectively revealed areas for improving spoken interaction tasks; the results also showed the usefulness of combining the two methods for task development and revision.
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